Mnemosyne.Pipeline.Retrieval (mnemosyne v0.1.6)

Multi-hop graph retrieval pipeline.

Classifies a query by memory mode, generates retrieval tags, embeds them, scores candidate nodes via value functions, and performs multi-hop traversal to expand and re-rank results.

Summary

Functions

retrieve(query, opts)

Retrieves relevant memory nodes from the graph for the given query.

Functions

retrieve(query, opts)

@spec retrieve(
  String.t(),
  keyword()
) ::
  {:ok, Mnemosyne.Pipeline.Retrieval.Result.t(),
   Mnemosyne.Notifier.Trace.Recall.t()}
  | {:error, Mnemosyne.Errors.error()}

Retrieves relevant memory nodes from the graph for the given query.

Options:

:llm (required) - LLM module implementing the LLM behaviour
:embedding (required) - Embedding module implementing the Embedding behaviour
:backend (required) - Tuple of {module, state} implementing GraphBackend
:value_function (required) - Map with :module (ValueFunction impl) and :params (per-type params)
:llm_opts - Additional LLM options (default: [])
:config - Config struct for per-step model overrides
:max_hops - Maximum traversal hops (default: 2)